FIELD: physics; communications.
SUBSTANCE: invention relates to inspection technology and can be used in telecommunication systems. Values of disruptive effects on a communication line are monitored, while simultaneously evaluating transmission capacity of each type of communication line. The obtained values are scaled relative maximum values for each class of parametres. The given values are used to train artificial neural networks with radial basic elements for approximating dependency of efficiency of each type of communication line on values of disruptive effects. Matrices of synaptic weights of trained neural networks are filled and further installed in accordance with a specific designed communication network for evaluating transmission capacity from forecast values of disruptive effects, obtained with time delay. Based on the forecast values of transmission capacity for each communication line, the available network resource is allocated between subscribers taking into account their priority categories.
EFFECT: wider functional capabilities, lying in timely rendering of information services to subscribers of different categories with external disruptive effects acting on a communication network.
11 dwg
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Authors
Dates
2010-01-20—Published
2008-04-21—Filed